sijialu-leo Goto Github PK

followers: 12.0 following: 6.0 repos: 53.0 gists: 0.0

Name: LuSijia_1995

Type: User

Company: Fudan University

👋 Hi, I’m SijiaLu and you can call me Leo.

I am a PhD student 👨‍🎓 at Fudan University. After high school, I was fortunate to enter the UESTC (University of Electronic Science and Technology of China, the one in Chengdu 🐼🥘🌨) to study in the experimental class of basic science in mathematics and physics, and spent four years in Chengdu with my girlfriend 👩‍🎓💏🍀.

During my doctoral period, my main research direction was Brain-like Artificial Intelligence, and I am interested in object recognition and other artificial intelligence-related fields. The current research direction involves Spiking Neural Network, Competitive Learning, Computational Neuroscience and other related knowledge. And, now my main research focuses on unsupervised learning.

My hobbies are various ball games ⛹️‍🏀🏓🏸, and recently I also like swimming 🏊‍♀️🏊.

I believe, the ultimate goal of knowledge is to spread love and kindness in the world.

This is my pages -> https://sijialu-leo.github.io.

LuSijia_1995's Projects

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

bachelor

my bachelor's thesis

beamer-theme-collection

LaTeX 幻灯片 (PPT) Beamer 模板集 --- 中文、中英混排、英文

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

bread_checkout

This code is used to identify bread in pictures and videos.

brian2

Brian is a free, open source simulator for spiking neural networks.

brian2stdpmnist

Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"

chatgpt

GPT-4已发布，接口开放后本项目将第一时间适配并开源。想做点事情的创业者欢迎加群参与讨论！本项目是最易部署的ChatGPT环境。PHP版调用OpenAI最新接口和模型gpt-3.5-turbo进行问答的Demo，采用Stream流模式通信，一边生成一边输出，响应速度超过官网。前端采用JS的EventSource，支持Markdown格式解析，代码有着色处理。页面UI简洁，支持上下文连续会话。源码只有两三个文件，没用任何框架，支持所有PHP版本。只需要修改stream.php中的API_KEY即可使用，也可让浏览者使用自定义API_KEY。